Disparities in spatially variable gene calling highlight the need for benchmarking spatial transcriptomics methods
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Identifying spatially variable genes (SVGs) is a key step in the analysis of spatially resolved transcriptomics data. SVGs provide biological insights by defining transcriptomic differences within tissues, which was previously unachievable using RNA-sequencing... ...
